Antes de Memmo, mis apuntes estaban dispersos en PDFs. Ahora, un espacio de trabajo lo reúne todo y veo exactamente lo que me queda por estudiar.
Over the last few years vehicular networks have been receiving a lot of attention from academia, industry, standardization bodies, and the various transportation agencies and departments of many governments around the world. It is envisaged in the next decade that the Intelligent Transportation System (ITS) will become an essential part of our daily life. This book describes models and/or algorithms designed to investigate evolutionary solutions to overcome important issues such as congestion control, routing, clustering, interconnection with long-term evolution (LTE) and LTE advanced cellular networks, traffic signal control and analysis of performances through simulation tools and the generation of vehicular mobility traces for network simulations.
It provides an up-to-date progress report on the most significant contributions carried out by the specialized research community in the various fields concerned, in terms of models and algorithms. The proposals and new directions explored by the authors are highly original, and a rather descriptive method has been chosen, which aims at drawing up complete states of the art as well as providing an overall presentation of the personal contributions brought by the authors and clearly illustrating the advantages and limitations as well as issues for future work.
Contents
1. Introduction
2. Congestion Control for Safety Vehicular Ad-Hoc Networks
3. Inter-Vehicle Communication for the Next Generation of Intelligent Transport System: Trends in Geographic Ad Hoc Routing Techniques
4. CONVOY: A New Cluster-Based Routing Protocol for Vehicular Networks
5. Complementarity between Vehicular Networks and LTE Networks
6. Gateway Selection Algorithms in a Hybrid VANET-LTE Advanced Network
7. Synthetic Mobility Traces for Vehicular Networking
8. Traffic Signal Control Systems and Car-to-Car Communications
About the Authors
André-Luc Beylot is Professor in the Telecommunication and Network Department of the ENSEEIHT of IRIT-T, University of Toulouse in France.
Houda Labiod is Associate Professor at Telecom ParisTech in the INFRES (Computer Science and Network) Department, France.
Antes de Memmo, mis apuntes estaban dispersos en PDFs. Ahora, un espacio de trabajo lo reúne todo y veo exactamente lo que me queda por estudiar.
Los resúmenes de Memmo son oro antes de los exámenes. No tengo que releer 800 páginas dos semanas antes, solo las partes importantes.
El chat de IA me ha salvado la noche antes de un examen más de una vez. Sigo preguntando hasta que lo entiendo, sin esperar a que un grupo de estudio responda.
Los cuestionarios aciertan exactamente lo que necesito saber. Memmo registra dónde me atasco, así que solo practico lo que vale la pena.
Las flashcards con repetición espaciada son magia. Memmo sabe cuándo estoy a punto de olvidar algo y me lo recuerda.
Los pódcasts de IA son mis favoritos. Los escucho de camino a la universidad y obtengo un resumen sin tener que sentarme frente a un ordenador.
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